Articles | Volume 5, issue 7
https://doi.org/10.5194/amt-5-1667-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-5-1667-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade
E. J. Alston
NASA Langley Research Center, Hampton, VA, USA
Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, GA, USA
I. N. Sokolik
Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, GA, USA
O. V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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- Aerosol loading in the Southeastern United States: reconciling surface and satellite observations B. Ford & C. Heald 10.5194/acp-13-9269-2013
- The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
- A Comparison of Meteorology-Driven Interannual Variations of Surface Aerosol Concentrations in the Eastern United States, Eastern China, and Europe J. Feng et al. 10.2151/sola.2016-031
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- Reconciling satellite aerosol optical thickness and surface fine particle mass through aerosol liquid water T. Nguyen et al. 10.1002/2016GL070994
- Spatiotemporal coherence of mean and extreme aerosol particle events over eastern North America as observed from satellite R. Sullivan et al. 10.1016/j.atmosenv.2015.04.026
- Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States K. Kaku et al. 10.1029/2017JD028074
- Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
- Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. 10.1016/j.envint.2021.106392
- Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters Q. Mu & H. Liao 10.5194/acp-14-9597-2014
- In situ vertical profiles of aerosol extinction, mass, and composition over the southeast United States during SENEX and SEAC<sup>4</sup>RS: observations of a modest aerosol enhancement aloft N. Wagner et al. 10.5194/acp-15-7085-2015
- Assessment of Aerosol Radiative Forcing with 1-D Radiative Transfer Modeling in the U. S. South-East E. Alston & I. Sokolik 10.3390/atmos9070271
- High-resolution prediction of the spatial distribution of PM2.5 concentrations in China using a long short-term memory model Z. Wang et al. 10.1016/j.jclepro.2021.126493
- Evaluation of Aerosol Optical Depth (AOD) and PM2.5 associations for air quality assessment Z. Yang et al. 10.1016/j.rsase.2020.100396
17 citations as recorded by crossref.
- Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003–2011 M. Lee et al. 10.1038/jes.2015.41
- Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale P. Crippa et al. 10.5194/acp-16-397-2016
- Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor 10.1029/2019JD031137
- Aerosol loading in the Southeastern United States: reconciling surface and satellite observations B. Ford & C. Heald 10.5194/acp-13-9269-2013
- The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
- A Comparison of Meteorology-Driven Interannual Variations of Surface Aerosol Concentrations in the Eastern United States, Eastern China, and Europe J. Feng et al. 10.2151/sola.2016-031
- Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model P. Kim et al. 10.5194/acp-15-10411-2015
- A First-Order Assessment of Direct Aerosol Radiative Effect in the Southeastern U.S. Using over a Decade Long Multisatellite Data Record E. Alston & I. Sokolik 10.4137/ASWR.S39226
- Reconciling satellite aerosol optical thickness and surface fine particle mass through aerosol liquid water T. Nguyen et al. 10.1002/2016GL070994
- Spatiotemporal coherence of mean and extreme aerosol particle events over eastern North America as observed from satellite R. Sullivan et al. 10.1016/j.atmosenv.2015.04.026
- Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States K. Kaku et al. 10.1029/2017JD028074
- Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
- Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. 10.1016/j.envint.2021.106392
- Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters Q. Mu & H. Liao 10.5194/acp-14-9597-2014
- In situ vertical profiles of aerosol extinction, mass, and composition over the southeast United States during SENEX and SEAC<sup>4</sup>RS: observations of a modest aerosol enhancement aloft N. Wagner et al. 10.5194/acp-15-7085-2015
- Assessment of Aerosol Radiative Forcing with 1-D Radiative Transfer Modeling in the U. S. South-East E. Alston & I. Sokolik 10.3390/atmos9070271
- High-resolution prediction of the spatial distribution of PM2.5 concentrations in China using a long short-term memory model Z. Wang et al. 10.1016/j.jclepro.2021.126493
1 citations as recorded by crossref.
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